Influence-based Twitter browsing with NavigTweet

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• 作者：Chiara Francalanci ; Ajaz Hussain ; ^{ajaz.hussain@polimi.it}
• 关键词：Social Media Influencers ; Social Media Influence ; Twitter analytics ; Graph visualization ; Power-law graphs
• 刊名：Information Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：64
• 期：Complete
• 页码：119-131
• 全文大小：1848 K
• 卷排序：64

文摘

We propose novel visual framework to analyse, explore and interact with Twitter ‘Who Follows Who’ relationship. We developed NavigTweet to identify key influencers in Twitter network based upon the actual influence of shared content. A power-law based modified force-directed technique is provided to draw multi-clustered, and multi-layered graphs. A qualitative user-study is reported to gather feedback via survey. Reported pre-launch pilot test execution found to be positive along with post-release user-feedback survey.